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Synthesizing of Zeolite Particle Using Alkaline Plant Extract 利用碱性植物提取物合成沸石颗粒
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.001
Tijjani Abdullahi, Z. Harun, N. Sazali, N. Hairom, M. R. Jamalludin, S. Hubadillah, N. Sazali, S. S. Alias, Faiz Hafeez Azhar
The study explored the hydrothermal synthesis of zeolite using kaolin clay precursor in the presence of three different solvents namely, garlic extract, watermelon extract and 2M NaOH solution, with the view of testing their efficacy and potency for green synthesis. Before the zeolitization, the kaolin precursor was activated at a temperature of 850°C to produce metakaolin. The crystallization was achieved in an oven at a temperature of 90°C for 12 hours. The final product is grounded to a fine powder and subsequently undergo testing and characterization via X-ray Diffraction (XRD) and Field Emission Scanning Electron Microscopes (FESEM) methods. The purity and grade of the synthesized products vary accordingly with the suitability of the reaction solvent. The synthesized product using a solvent of watermelon plant extract was able to produce zeolite LTA of a good grade. However, the presence of secondary phases informed the effect of the accompanied impurities that might originate from the kaolin precursor or the solvent. The result also portrays the possibility of obtaining a well crystalline zeolite from the Malaysian kaolin without using any structural directing agent or chemical solvents.
本研究探讨了以高岭土为前驱体,在大蒜提取物、西瓜提取物和2M NaOH溶液三种不同溶剂存在下,水热合成沸石的方法,以考察其绿色合成的功效和潜力。沸石化前,在850℃的温度下活化高岭土前驱体,生成偏高岭土。在90°C的烘箱中进行12小时的结晶。最终产品被磨成细粉末,随后通过x射线衍射(XRD)和场发射扫描电子显微镜(FESEM)方法进行测试和表征。合成产物的纯度和等级随反应溶剂的适宜性而变化。以西瓜植物提取物为溶剂合成的产物可制得优质的LTA沸石。然而,次级相的存在提示了伴随杂质的影响,这些杂质可能来自高岭土前驱体或溶剂。该结果还描绘了在不使用任何结构导向剂或化学溶剂的情况下,从马来西亚高岭土中获得结晶良好的沸石的可能性。
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引用次数: 1
The Optimization of RHS-polysulfone Membrane towards Operating Condition for Humic Acid Removal rhs -聚砜膜对腐植酸脱除操作条件的优化
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.002
M. R. Jamalludin, S. Hubadillah, Z. Harun, M. Z. Yunos, H. Basri, N. Hairom
This study investigates the effects of rice husk silica (RHS) as additive in the polysulfone membrane to enhance antifouling properties in membrane separation process. The performance (of what?) was evaluated in term of pure water flux (PWF), rejection and antifouling properties. The optimized of normalized flux (Jf /Jo) at different parameter in filtration (pH, ionic strength and tranmembrane-pressure) was carried out by using the response surface methodology (RSM). The results showed that the addition of 4 wt. % RHS give the highest flux at 300.50 L/m².hour (LMH). The highest rejection was found at 3 wt. % of RHS membrane with value 98% for UV254 and 96% for TOC. The optimal value of Jf/Jo was found at 0.62 with the condition of pH: 6.10, ionic strength: 0.05 mol/L and transmembrane-pressure: 2.67 bars. Optimize of RSM analysis from ANOVA also proved that the error of model is less than 0.05% which indicates that the model is significant.
研究了稻壳二氧化硅(RHS)作为聚砜膜的添加剂对膜分离过程中防污性能的影响。从纯水通量(PWF)、截留性能和防污性能方面对(什么?)进行了评价。采用响应面法(RSM)对不同过滤参数(pH、离子强度和跨膜压力)下归一化通量(Jf /Jo)进行了优化。结果表明,添加4 wt. % RHS时,通量最高,为300.50 L/m²。小时(LMH)。截留率最高的RHS膜为3wt . %, UV254截留率为98%,TOC截留率为96%。在pH为6.10、离子强度为0.05 mol/L、跨膜压力为2.67 bar的条件下,Jf/Jo的最佳值为0.62。方差分析的RSM优化也证明了模型的误差小于0.05%,表明模型是显著的。
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引用次数: 0
The Effect of Hyper-Parameters on the Performance of Third Order Neural Network Algorithms on Medical Classification Data 超参数对医学分类数据三阶神经网络算法性能的影响
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.007
Nazri M. Nawi, P. Harsani, E. T. Tosida, Khairina Mohamad Roslan
The artificial neural network (ANN) particularly back propagation (BP) algorithm has recently been applied in many areas. It is known that BP is an excellent classifier for nonlinear input and output numerical data. However, the popularity of BP comes with some drawbacks such as slow in learning and easily getting stuck in local minima. Improving training efficiency of BP algorithm is an active area of research and numerous papers have been reviewed in the literature. Furthermore, the performance of BP algorithm also highly influenced by the size of the datasets and the data preprocessing techniques that been chosen. This paper presents an improvement of BP by adjusting the two term parameters on the performance of third order neural network methods. This work also demonstrates the advantages of using preprocessing dataset in order to improve the BP convergence. The efficiency of the proposed method is verified by means of simulation on medical classification problems. The results show that the proposed implementation significantly improves the learning speed of the general back-propagation algorithm.
近年来,人工神经网络(ANN)尤其是反向传播(BP)算法在许多领域得到了应用。已知BP是一种很好的非线性输入输出数值数据分类器。然而,BP的流行也带来了一些缺点,比如学习速度慢,容易陷入局部最小值。提高BP算法的训练效率是一个活跃的研究领域,文献中已经回顾了大量的论文。此外,BP算法的性能也受到数据集大小和所选择的数据预处理技术的影响。本文通过调整两项参数对三阶神经网络方法的性能进行改进。本研究也证明了使用预处理数据集来提高BP收敛性的优势。通过对医学分类问题的仿真,验证了该方法的有效性。结果表明,该算法显著提高了一般反向传播算法的学习速度。
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引用次数: 0
Effect of Kaolin Particle Size Towards Preparation of Kaolin Ceramic Membrane 高岭土粒径对高岭土陶瓷膜制备的影响
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.005
S. Hubadillah, N. Hami, N. Salleh, M. R. Jamalludin, Z. Harun, M. Othman, N. Hairom
The purpose of this work is to study the effect of kaolin particle size for the preparation of low cost ceramic membrane suspension and ceramic membrane structure. Kaolin particle size is categorized into two categories; i) ≤ 1µm and ii) ≥ 1 µm. The suspension is prepared via stirring technique under 1000 rpm at 60°C. The particle size of kaolin is characterized using field emission scanning electron microscope (FESEM) and the prepared suspension is characterized in term of its viscosity. Results indicate that the particle size gave significant effect to the viscosity of ceramic membrane suspension. Preliminary data showed that kaolin with particle size ≤ 1µm resulted ceramic membrane with dense structure.
研究高岭土粒径对制备低成本陶瓷膜悬浮液和陶瓷膜结构的影响。高岭土粒径分为两大类;I)≤1µm; ii)≥1µm。该悬浮液是通过搅拌技术在1000 rpm下在60°C下制备的。利用场发射扫描电镜(FESEM)对高岭土的粒径进行了表征,并用黏度对制备的悬浮液进行了表征。结果表明,粒径对陶瓷膜悬浮液的粘度有显著影响。初步数据表明,粒径≤1µm的高岭土制备的陶瓷膜结构致密。
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引用次数: 0
An Implementation of First and Second Order Neural Network Classification on Potential Drug Addict Repetition 一、二阶神经网络分类对潜在吸毒者重复行为的实现
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.003
Nazri M. Nawi, E. T. Tosida, Hamiza Hasbi, Norhamreeza Abdul Hamid
Back propagation (BP) neural network is known for its popularity and its capability in prediction and classification. BP used gradient descent (GD) method as one of the most widely used error minimization methods used to train back propagation (BP) networks. Besides its popularity BP still faces some limitation such as very slow in learning as well as easily get stuck at local minima. Many techniques have been introduced to improve BP performance. This research implements second order method together with gradient descent in order to improve its performance. The efficiency of both methods are verified and compared by means of simulations on classifying drug addict repetition. The results show that the second order methods are more reliable and significantly improves the learning performance of BP.
BP神经网络以其在预测和分类方面的能力而闻名于世。BP采用梯度下降法(GD)作为训练BP网络最广泛使用的误差最小化方法之一。BP在受欢迎的同时也面临着一些局限性,比如学习速度慢,容易陷入局部极小值。为了提高BP性能,已经引入了许多技术。为了提高算法的性能,本研究将二阶方法与梯度下降相结合。通过对吸毒重复分类的仿真,验证和比较了两种方法的有效性。结果表明,二阶方法更加可靠,显著提高了BP的学习性能。
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引用次数: 1
A Brief Review on Thermal Behaviour of PANI as Additive in Heat Transfer Fluid 聚苯胺作为传热流体添加剂的热性能研究综述
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.006
A. Sofiah, M. Samykano, S. Shahabuddin, K. Kadirgama, A. K. Pandey, M. M. Noor
Since a decade ago, investigation on nanofluids has grown significantly owing to its enhanced thermal properties compared to conventional heat transfer fluids. This engineered nanofluid has been widely used in the thermal engineering system to improve their energy consumption by improving the thermal efficiency of the system. The addition of nano-size particles as additives dispersed in the base fluids proved to significantly either improve or diminish the behaviour of the base fluids. The behaviour of the base fluid highly depends on the properties of the additives material, such as morphology, size, and volume fraction. Among the variety of nanoparticles studied, the conducting polymers have been subject of high interest due to its high environmental stability, good electrical conductivity, antimicrobial, anti-corrosion property and significantly cheap compared to other nanoparticles. As such, the main objective of the present review is to provide an overview of the work performed on thermal properties performance of conducting polymers based nanofluids.
自十年前以来,由于纳米流体与传统传热流体相比具有更强的热性能,因此对纳米流体的研究得到了显著的发展。该工程纳米流体已广泛应用于热工系统中,通过提高系统的热效率来降低其能耗。事实证明,将纳米级颗粒作为分散在基液中的添加剂,可以显著改善或降低基液的性能。基液的性能在很大程度上取决于添加剂材料的性质,如形态、尺寸和体积分数。在研究的各种纳米粒子中,导电聚合物因其高环境稳定性、良好的导电性、抗菌、抗腐蚀性能以及与其他纳米粒子相比明显便宜而受到高度关注。因此,本综述的主要目的是对导电聚合物基纳米流体的热性能进行综述。
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引用次数: 0
Photocatalytic Degradation of Synthetic Sulfur Pollutants in Petroleum Fractions under Different pH and Photocatalyst 不同pH和不同光催化剂下光催化降解石油馏分中合成硫污染物的研究
Pub Date : 2021-06-27 DOI: 10.30880/emait.2021.02.01.004
M. Hamdan, N. Hairom, Nurhafisza Zaiton, Z. Harun, S. Fhong, S. Hubadillah, M. R. Jamalludin, N. Jusoh, A. A. Jalil
Thiophene is one of the sulfur compounds in the petroleum fraction that can be harmful to living things and lead to a critical effect on the ecosystem. Photocatalytic degradation is one of the promising methods in treating wastewater as it can mineralization of pollutants into carbon dioxide and water. Other than that, this method is non-toxic and relatively low cost. The production of hydroxyl radicals playing a vital role in the degradation of organic pollutants. It has been claimed that the usage of zinc oxide (ZnO) nanoparticles could give an excellent degradation process as this photocatalyst have high photosensitivity, low cost and chemically stable. However, the preparation method of ZnO nanoparticles will affect the agglomeration, particle size, shape and morphology of particles and lead to influence the photocatalytic activity in degrading thiophene. Therefore, this study focused on the effectiveness of ZnO nanoparticles in the presence of fibrous nanosilica (KCC-1) and polyethylene glycol (PEG) as the capping agent to degrade synthetic thiophene. ZnO/KCC-1 had been synthesized via the precipitation method and characterized by using Fourier Transform Infrared (FTIR). The chemical bond and nature of the photocatalyst from the FTIR results proved that the synthesis process to produce the ZnO/KCC-1 was succeed. The large surface area of KCC-1 increases the effectiveness of ZnO which is supported by the experimental data. Accordingly, the optimum condition for photocatalytic degradation of thiophene is under pH 7 by using ZnO/KCC-1 as photocatalyst. Hence, it is believed that this research could be implemented to remove the thiophene in petroleum fraction from the actual industrial effluents and this can preserve nature in the future.
噻吩是石油馏分中的一种含硫化合物,对生物有害,对生态系统造成严重影响。光催化降解可以将污染物矿化成二氧化碳和水,是一种很有前途的污水处理方法。除此之外,这种方法无毒,成本也相对较低。羟基自由基的产生在有机污染物的降解中起着至关重要的作用。研究表明,氧化锌纳米颗粒具有光敏性高、成本低、化学性质稳定等优点,是一种良好的光催化剂。然而,ZnO纳米颗粒的制备方法会影响颗粒的团聚、粒径、形状和形貌,从而影响降解噻吩的光催化活性。因此,本研究的重点是ZnO纳米颗粒在纤维纳米二氧化硅(KCC-1)和聚乙二醇(PEG)作为封盖剂存在下对合成噻吩的降解效果。采用沉淀法合成了ZnO/KCC-1,并用傅里叶变换红外(FTIR)对其进行了表征。FTIR结果表明,光催化剂的化学键和性质证明了ZnO/KCC-1的合成工艺是成功的。KCC-1的大表面积提高了ZnO的效能,实验数据也证实了这一点。因此,以ZnO/KCC-1为光催化剂,光催化降解噻吩的最佳条件是pH为7。因此,相信本研究可用于从实际工业废水中去除石油馏分中的噻吩,从而在未来保护自然。
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引用次数: 1
Dynamic Mechanical Analysis of Synthetic epoxy (E) and Bio-epoxy Polymer Foam Integrated with Wood Filler Under 8000 hours Exposure to UV Irradiation 合成环氧树脂(E)和生物环氧树脂聚合物泡沫与木材填料在紫外线照射下8000小时的动态力学分析
Pub Date : 2020-12-30 DOI: 10.30880/emait.2020.01.01.003
A. Alzomor, A. Z. M. Rus, H. A. Wahab, N. S. Salim
The most common sustainable polymer for polyurethane (PU) materials is the production of polyurethane (PU) materials using renewable resources, which will reduce thedependency on petroleum-based products for consumption.This research presents findings from an experimental research on dynamic mechanical and viscoelastic properties such as storage module (E'), loss module(E") and damping coefficient(tan δ)of synthetic epoxy (E) and bio-epoxy (B) polymer foam with different loading ratios of 0%, 5%, 10%, 15% and 20% flakes and powder filler.The samples were then exposed to 8000 hours of UV irradiation. The samples were subjected to dynamic mechanical analysis (DMA) over a temperature range of 25-180 ° C for (E) and (B) polymer foam at a frequency of 1 Hz.The results showed that the 20 %synthetic epoxy with flakes filler material, namely as E20L sample with the highest filler ratio, gives the maximum storage module and loss module values (0.3125 MPa and0.0625 MPa respectively), among other filler ratios due to bonding between foam and filler resulting in increased viscosity of the synthetic-epoxy PU foam. The bio-epoxy PU foam with a 5% powder filler material (B5P), has the highest storage value (3,956 MPa) and loss module (17,213 MPa), showing that bio-epoxy PU foams can dissipate energy faster than synthetic-epoxy polymer foams.Thermogravimetric analysis (TGA) showed that the synthetic epoxy (E) polymer foam had a higher Tg value and the highest value was reported by E5L (1.2) compared to bio-epoxy foams with far less repeatable results due to the less homogeneous polyol structure.
聚氨酯(PU)材料最常见的可持续聚合物是使用可再生资源生产聚氨酯(PU)材料,这将减少对石油基产品消费的依赖。本文通过实验研究了合成环氧树脂(E)和生物环氧树脂(B)聚合物泡沫在0%、5%、10%、15%和20%的片状和粉末填充率下的动态力学和粘弹性性能,如存储模量(E′)、损耗模量(E′)和阻尼系数(tan δ)。然后将样品暴露在8000小时的紫外线照射下。在25-180°C的温度范围内,对(E)和(B)聚合物泡沫进行动态力学分析(DMA),频率为1hz。结果表明:掺有片状填料的20%合成环氧树脂,即填料配比最高的E20L试样,其存储模量和损耗模量值最大(分别为0.3125 MPa和0.0625 MPa),而其他填料配比下,由于泡沫与填料之间的粘结作用,合成环氧聚氨酯泡沫的粘度增大。添加5%粉末填充材料(B5P)的生物环氧聚氨酯泡沫具有最高的储能值(3956 MPa)和损耗模量(17213 MPa),表明生物环氧聚氨酯泡沫比合成环氧聚合物泡沫耗能更快。热重分析(TGA)表明,与生物环氧泡沫相比,合成环氧(E)聚合物泡沫具有更高的Tg值,E5L报告的Tg值最高(1.2),但由于多元醇结构不均匀,结果的可重复性较低。
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引用次数: 0
Dielectric Properties Characterization Based on Complementary Split-Ring Resonator 基于互补劈环谐振器的介电特性表征
Pub Date : 2020-12-30 DOI: 10.30880/emait.2020.01.01.005
H. M. Teoh, S. Yee
Material characterization method based on radio frequency and microwave measurements is highly demanded. The dielectric properties are very important for electronic circuit design, food industry, and medicine and health care. In this work, a complementary split-ring resonator (CSRR)-based sensor employed in the ground plane is proposed for dielectric measurement. This method enables the determination of both relative permittivity and relative permeability at the same time as well as simple sample preparation process. This project focuses on the design, simulation and the prediction formulae of the CSRR. This CSRR is resonating at 2.477 GHz with a quality factor of 128.91 in unloaded condition. Basically, there are shifting in the resonance frequency and the change of the quality factor when dielectric material is placed at the sensing area in separate zones. Four prediction formulas are proposed, which they are depend on the dielectric constant, real permeability, normalized resonance frequency, inverse normalized quality factor, electric loss tangent and magnetic loss tangent of the materials. These formulae are used to measure the permittivity and permeability of FR-4, Polyimide, and self-defined material. Based on the comparison, the percentage error between calculated result and reference data are 10% and 4.1% for electric and magnetic loss tangent respectively. The maximum percentage error in dielectric constant and real permeability are 4.5% and 4.29% respectively. Based on the percentage of error, it is convincing that the prediction formulas are reliable for dielectric measurement. Future work of this project should focus on verification of its actual performance through experimental measurement.
基于射频和微波测量的材料表征方法被高度要求。介电性能在电子电路设计、食品工业、医药卫生等领域具有重要意义。在这项工作中,提出了一种基于互补裂环谐振器(CSRR)的传感器用于介电测量。该方法可同时测定相对介电常数和相对渗透率,制样过程简单。本课题重点研究了CSRR的设计、仿真和预测公式。该CSRR谐振频率为2.477 GHz,无负载时质量因数为128.91。当介质材料放置在不同区域的感应区域时,谐振频率和品质因子的变化基本上是存在的。根据材料的介电常数、实际磁导率、归一化谐振频率、反归一化品质因子、电损耗正切和磁损耗正切,提出了四种预测公式。这些公式用于测量FR-4、聚酰亚胺和自定义材料的介电常数和磁导率。经比较,电损耗切线和磁损耗切线的计算结果与参考数据的误差百分比分别为10%和4.1%。介电常数和实际磁导率的最大百分比误差分别为4.5%和4.29%。从误差百分比来看,该预测公式对介电测量是可靠的。本项目未来的工作重点是通过实验测量来验证其实际性能。
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引用次数: 0
Dynamic Mechanical Analysis of Bio-Based and Synthetic Petroleum Based Polymer Foams with Powder Type Organic Filler at Prolonged Ultra-Violet Exposure 粉末型有机填料生物基和合成石油基泡沫聚合物在长时间紫外线照射下的动态力学分析
Pub Date : 2020-12-30 DOI: 10.30880/emait.2020.01.01.006
M. A. Zulhakimie, UniversitiTun Hussein Onn Malaysia, Anika Zafiah M. Rus, N. Sulong, N. S. Salim
Wood powder filler applied to the bio-based and epoxy polymer foams has the potential to reinforce the polymer foam structure. The 'Meranti' wood filler type was used as the filler in this analysis. In order to observe the pore size of each sample when exposed to different hours of UV exposure using optical microscopy (OM), this study was made.This analysis was conducted to compare the mechanical properties of each sample with different filler ratios of 0 wt%, 5 wt%, 10 wt%, 15wt% and 20 wt% at different UV exposure hours, which is 0 hour to 6000 hours with a 2000 hour rapid increase. Using the DMA Q800 TA unit, the mechanical properties were studied. In order to obtain the product of their mechanical properties, samples having a scale of 40 x 10 x 5 mm were clamped into the machine. The results will show the value of tan δ, loss modulus and storage modulus from the DMA test.The tan δ value shows that the high tanδvalue will be produced by the higher ratio filler. In contrast to bio-based polymer foams, epoxy polymer foams with powder fillers have the highest tan δ value. It shows that the higher filler ratio can be reported with the lower tan δ value. As the filler ratio filler in the polymer foams increased, the consequence of storage and loss modulus was found to increase. The greater the modulus of loss and the modulus of storage, the lower the temperature. As energy is lost as heat during UV irradiation exposure, bio-based polymer foams with a high powder filler ratio can dissipate more energy.
木粉填料应用于生物基和环氧聚合物泡沫材料中,具有增强聚合物泡沫结构的潜力。本分析采用“莫兰蒂”木材填料类型作为填料。为了利用光学显微镜(OM)观察每个样品在不同时间紫外线照射下的孔径,我们进行了这项研究。本分析比较了不同填充率(0 wt%、5wt%、10 wt%、15wt%和20 wt%)的样品在不同紫外照射时间(0 ~ 6000小时,2000小时快速增加)下的力学性能。采用DMA Q800 TA装置对其力学性能进行了研究。为了获得其机械性能的产物,将尺寸为40 x 10 x 5 mm的样品夹入机器中。结果将显示从DMA测试得到的tan δ、损耗模量和存储模量的值。tanδ值表明,高掺量的填料会产生较高的tanδ值。与生物基聚合物泡沫相比,粉末填充的环氧聚合物泡沫具有最高的tan δ值。结果表明,tan δ值越低,填充率越高。随着聚合物泡沫中填充率的增加,其存储模量和损失模量的影响也随之增大。损耗模量和储存模量越大,温度越低。由于能量在紫外线照射下以热量的形式损失,高粉末填充比的生物基聚合物泡沫可以耗散更多的能量。
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引用次数: 0
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Emerging Advances in Integrated Technology
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